Research Automation
Systems across UI, structure, and context.
🌬️ Wisp
Context-aware, zero dependency UI engine for the modern web.
🧵 Weave
Lightweight web weaving framework.
Reusable modular component framework.
🧠 ContextFusion
Context composition and fusion toolkit for LLMS and AI Agents.
Lightweight context orchestration system for modular architectures.
⚡ CFAdv
Context compiler for LLMs.
Scores, selects and reorders context under a token budget using attention-based fusion.
🧩 ContextFission
ContextFission make context small, useful, budget-safe for LLM. ContextFission is context compiler for LLMs. Built on ContextFusion & CFAdv.
🧠 Hypercontext
Hypercontext is a standalone Python + TypeScript SDK for building AI agents that are aware of their own context. Unlike conventional agent frameworks that operate with fixed prompts and static tool sets, Hypercontext agents:
- Observe their own reasoning in real time
- Rewrite their own context based on performance feedback
- Archive successful strategies in an evolutionary knowledge base
- Transfer learned behaviors across tasks and sessions
The framework is inspired by the Hyperagents paper's vision of meta-cognitive AI systems — agents that don't just use context, but reason about and modify their own context to improve over time.
🛡️ envguard
macOS-first Python environment orchestration: preflight validation, dependency resolution, lock files, and safe managed execution. Catches broken envs before they break your code.
🧠 NoB
NoB (Noticeably Better) is a high-level, dynamically-typed programming language.
Note: NoB is proprietary software. Use of this software is governed exclusively by the EULA.
Coming soon…
🧠 notion-Health-AI
Local-first Notion health tracker with TRIBEv2 brain analysis, AI health insights, symptom logging, goals, medications, appointments, and a browser UI.
☕ pot.of
A ridiculous but lovingly built virtual coffee pot controller inspired by RFC 2324, powered by Next.js and Google Gemini.
📊 RepoPulseAI
RepoPulseAI is a GitHub App and Next.js web app for repository analysis. It reads the signals GitHub already exposes, scores project health, and turns that into something a maintainer can actually act on.
🧮 REX Framework
Rex enables running machine learning inference where model weights are stored remotely (Google Drive, OneDrive, S3, or any HTTP server with Range requests) and never fully downloaded to the local machine. The system fetches weight chunks on demand, caches a bounded fraction locally, and evicts aggressively to enforce the invariant that the full model never resides in local memory.
Output
Structured, optimized context.
